In the context of the social network, a recommendation system can better discover the relationship between users and preferences, thus giving a more accurate ...

In this paper, we proposed a new method based on trust relationship in social network and attention mechanism of deep learning to solve the group recommendation.

In this paper, we proposed a new method based on trust relationship in social network and attention mechanism of deep learning to solve the group recommendation ...

Another form of technology, deep learning and attention mechanisms, have developed rapidly and become popular in recent years as a way to study group event ...

The model learns the influence weight of each user in a group and recommends items to the group based on its members' weighted preferences, which provides a ...

Oct 31, 2019 · The recommendation system within a social network adopts topical attention and probabilistic matrix factorization (STAPMF) is proposed.

Trust-aware recommender systems have been widely used in recent years to improve the performance of traditional collaborative filtering systems.

Nov 3, 2022 · In this work, we address the problem of location recommendation to a group of users, and the proposed solutions are based on Random Walk with ...

In this work, we introduce a framework for handling trust in social networks, which is based on a reputation mechanism that captures the implicit and explicit ...

In this paper, we propose a social network-based service recommendation method with trust enhancement known as RelevantTrustWalker.